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Zypact

Paid
★ 1 • Updated Jul 5, 2026, 03:10 AM

Zypact is a SaaS platform designed for B2B SaaS marketing teams to monitor and improve their brand's visibility in AI-generated answers from large language models (LLMs) such as ChatGPT, Perplexity, and Gemini.

Use Cases ▼
01

Monitor AI share of voice across ChatGPT, Perplexity, and Gemini

02

Audit LLM crawler access for website content

03

Receive weekly AI visibility reports with actionable insights

04

Analyze content optimization for AI citation

05

Track competitor citations in AI-generated answers

06

Improve brand visibility in AI search results

What Problem It Solves ▼

Many B2B brands have zero visibility in AI-generated answers, even though over half of buyers now start their research with AI chatbots. Zypact helps marketing teams understand why AI engines recommend competitors instead of their brand, and provides a systematic, research-backed process to become the brand that AI recommends.

Key Features ▼
✓

Provides root cause analysis of missing AI citations

✓

Tracks multiple LLM platforms (ChatGPT, Perplexity, Gemini)

✓

Built on Princeton GEO study and real LLM citation research

✓

Includes crawler audit, content scoring, and share of voice monitoring

✓

Offers concrete weekly actions ranked by impact

Overview

Zypact is a SaaS platform designed for B2B SaaS marketing teams to monitor and improve their brand's visibility in AI-generated answers from large language models (LLMs) such as ChatGPT, Perplexity, and Gemini. It tracks how often a brand is cited versus competitors in AI recommendations, and provides root cause analysis and actionable insights to increase share of voice.

Full Description ▼

The platform offers an AI crawler audit that checks if major LLM bots (GPTBot, ClaudeBot, PerplexityBot, etc.) can access a website, identifying silent blocks that prevent citation. It also scores web pages on 11 content criteria derived from Princeton GEO research and LLM citation studies, highlighting optimization opportunities such as BLUF summaries, heading structure, and FAQ schema. Zypact's visibility monitor sends custom prompts to the tracked LLMs and measures share of voice, surfacing which competitors are being recommended instead. Additionally, a seeding tracker helps users manage off-site trust signals (G2 reviews, Reddit mentions, Wikidata entries) that influence AI citations. Weekly reports deliver a prioritized list of the highest-impact actions to recover lost citations and grow AI-driven traffic.

Pros & Cons

Pros

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Provides root cause analysis of missing AI citations

+

Tracks multiple LLM platforms (ChatGPT, Perplexity, Gemini)

+

Built on Princeton GEO study and real LLM citation research

+

Includes crawler audit, content scoring, and share of voice monitoring

+

Offers concrete weekly actions ranked by impact

Cons

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Limited to B2B SaaS use case

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Relies on third-party LLM APIs which may change over time

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Requires ongoing subscription for continuous monitoring

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Does not cover all AI search engines (only three tracked)

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No self-hosted or open-source option

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